Prediction Model of Asphalt Content of Asphalt Mixture Based on Dielectric Properties

Autor: Yanhui Zhong, Yilong Wang, Bei Zhang, Xiaolong Li, Songtao Li, Yanmei Zhong, Meimei Hao, Yanlong Gao
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Advances in Civil Engineering, Vol 2020 (2020)
Druh dokumentu: article
ISSN: 1687-8086
1687-8094
DOI: 10.1155/2020/6661593
Popis: The rapid detection of asphalt content in asphalt mixture is of great significance to the quality evaluation of asphalt pavement. Based on the dielectric properties of an asphalt mixture, the prediction model of asphalt content is deduced theoretically using three types of dielectric models: Lichtenecker-Rother (L-R) model, Rayleigh model, and Bottcher equation. Under the condition of laboratory mixing at room temperature (about 20–25°C), a dielectric test of asphalt mixture is conducted to verify the applicability of the model. The test results indicate that the dielectric constant of the asphalt mixture is inversely proportional to the asphalt content and directly proportional to the aggregate size of the mixture. Among the models, the Rayleigh model has a wide range of applications and exhibits a high accuracy, with an average relative error of only 1.86%. The results provide a theoretical basis for the nondestructive testing of asphalt pavements using ground-penetrating radar.
Databáze: Directory of Open Access Journals
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